Are you ready to make a significant impact on healthcare innovation? As a Clinical Data Scientist at Vitalograph, you’ll be at the forefront of developing and commercialising cutting-edge analysis methods for biomedical signals and clinical data. You’ll have the opportunity to work on ground-breaking projects involving AI, signal processing algorithms, and the integration of these technologies into commercial software platforms. You’ll also collaborate on high-impact academic and clinical research projects, presenting your findings to senior management, clinical trial customers, and research collaborators.

JOB REQUIREMENTS

• At least 3 years of experience in statistical/data analysis programming languages such as MATLAB and Python.
• At least 1 year of experience in relational database technologies such as SQL.
• Experience in biomedical signal processing.
• At least 1 year of experience in data science/data analysis and visualization projects.
• Experience in scientific writing.
• Experience in Engineering, Science, Computer Science/Data Science, or related disciplines.
• Experience working with structured and unstructured clinical data.
• Experience applying statistical methods and reporting results.
• At least 2 years of experience applying Exploratory Data Analysis and Machine Learning Methods to large clinical datasets. OR
• At least 2 years of experience with Deep Learning techniques, including CNNs, RNNs, GANs, and LLMs.
• A record of scientific publications in biomedical signal processing, data science, or related fields.

EDUCATIONAL REQUIREMENTS:

• Master’s degree in Engineering, Science, Computer Science/Data Science, or a related discipline.

PLEASE NOTE THAT IF YOU ARE LOOKING TO WORK REMOTELY, AND ARE BASED OUTSIDE OF THE UK, IRELAND OR GERMANY THIS WOULD BE A CONTRACTOR-BASED ROLE. ALSO YOU MUST BE ABLE TO WORK WITHIN CORE IRELAND/UK BUSINESS HOURS.

Reporting to: Principal Clinical Data Scientist
Team: Clinical Data Science Team

JOB RESPONSIBILITIES

• Prepare and explore large biomedical signal and clinical datasets, using data modelling and visualisation to support innovative analysis approaches.
• Develop deployable analysis methods, algorithms, and systems to meet specific requirements, coding proficiently in MATLAB, Python, and SQL.
• Create comprehensive technical documentation for the software you develop.
• Work closely with Software R&D and Data Management teams, contributing to a collaborative and innovative environment.
• Present your work to senior management, clinical trial customers, and academic or clinical research collaborators, showcasing the impact and importance of your projects.